--- title: "selfhost-ai vs anything-llm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kossakovsky-selfhost-ai-vs-mintplex-labs-anything-llm" tools: ["kossakovsky-selfhost-ai", "mintplex-labs-anything-llm"] --- # selfhost-ai vs anything-llm *GraphCanon updated Sep 20, 2026* ## Verdict Pick selfhost-ai if selfhost-ai offers a self-contained suite for deploying multiple AI tools with automated HTTPS setup and one-command deployment, acting as an open alternative to cloud-based services like Zapier; pick anything-llm if anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over. [selfhost-ai](https://github.com/kossakovsky/selfhost-ai#readme) reports 933 GitHub stars, 237 forks, and 0 open issues, last pushed Sep 18, 2026. [anything-llm](https://anythingllm.com) has 66k stars, 7.3k forks, and 315 open issues, last pushed Sep 17, 2026. Figures are from public GitHub metadata via [selfhost-ai's repository](https://github.com/kossakovsky/selfhost-ai) and [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm). | | [selfhost-ai](/tools/kossakovsky-selfhost-ai.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Tagline | Self-hosted AI automation platform | Self-hosted AI agent experience | | Stars | 933 | 66,167 | | Forks | 237 | 7,349 | | Open issues | 0 | 315 | | Language | Shell | JavaScript | | Adopt for | selfhost-ai offers a self-contained suite for deploying multiple AI tools with automated HTTPS setup and one-command deployment, acting as an open alternative to cloud-based services like Zapier. | anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT License, allowing for free use, modification, and distribution. | | Categories | AI Agents, Developer Tools, Model Training, Vector Databases | AI Agents, Developer Tools, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [selfhost-ai](/tools/kossakovsky-selfhost-ai.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Days since push | 1d | 0d | | Open issues (now) | 0 | 315 | | Stars delta | +31 (30d) | +1.5k (30d) | | Open issues delta | 0 (30d) | -4 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/kossakovsky-selfhost-ai/trust.md) | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | ## Decision facts: selfhost-ai - **Adopt for:** selfhost-ai offers a self-contained suite for deploying multiple AI tools with automated HTTPS setup and one-command deployment, acting as an open alternative to cloud-based services like Zapier. ## Decision facts: anything-llm - **Pricing:** freemium - Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure. - **Requirements:** Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment. - **Adopt for:** anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows. - **License detail:** MIT License, allowing for free use, modification, and distribution. ## Choose when ### Choose selfhost-ai if… - selfhost-ai is primarily Shell; anything-llm is JavaScript. - License: selfhost-ai is Apache-2.0, anything-llm is MIT. - Tags unique to selfhost-ai: automation, chatgpt-alternative, docker, flowise. - Also covers Model Training, Vector Databases. - selfhost-ai ships Docker support for self-hosted deployment. - Self-hosted deployments aiming for centralized AI automation that includes n8n, Ollama, Flowise, RAG, Supabase, and other tools with a single command. ### Choose anything-llm if… - anything-llm is primarily JavaScript; selfhost-ai is Shell. - License: anything-llm is MIT, selfhost-ai is Apache-2.0. - Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure.. - Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment.. - Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-ai. - Also covers Inference & Serving. - When you need a local-first AI agent experience that you can fully control and customize. ## When NOT to use selfhost-ai - Organizations seeking fully managed AI automation solutions where setup and maintenance are handled by the service provider. - Businesses preferring to avoid the overhead of managing self-hosted environments, including hardware requirements and system updates. ## When NOT to use anything-llm - If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management. - When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity. ## Common questions ### What is the difference between selfhost-ai and anything-llm? selfhost-ai: Self-hosted AI automation platform. anything-llm: Self-hosted AI agent experience. See the comparison table for live GitHub stats and shared categories. ### When should I choose selfhost-ai over anything-llm? Choose selfhost-ai over anything-llm when selfhost-ai is primarily Shell; anything-llm is JavaScript; License: selfhost-ai is Apache-2.0, anything-llm is MIT; Tags unique to selfhost-ai: automation, chatgpt-alternative, docker, flowise; Also covers Model Training, Vector Databases; selfhost-ai ships Docker support for self-hosted deployment; Self-hosted deployments aiming for centralized AI automation that includes n8n, Ollama, Flowise, RAG, Supabase, and other tools with a single command. ### When should I choose anything-llm over selfhost-ai? Choose anything-llm over selfhost-ai when anything-llm is primarily JavaScript; selfhost-ai is Shell; License: anything-llm is MIT, selfhost-ai is Apache-2.0; Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure.; Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment.; Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-ai; Also covers Inference & Serving; When you need a local-first AI agent experience that you can fully control and customize. ### When should I avoid selfhost-ai? Organizations seeking fully managed AI automation solutions where setup and maintenance are handled by the service provider. Businesses preferring to avoid the overhead of managing self-hosted environments, including hardware requirements and system updates. ### When should I avoid anything-llm? If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management. When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity. ### Is selfhost-ai or anything-llm more popular on GitHub? anything-llm has more GitHub stars (66,167 vs 933). Stars measure visibility, not whether either tool fits your constraints. ### Are selfhost-ai and anything-llm open source? Yes - both are open-source projects on GitHub (selfhost-ai: Apache-2.0, anything-llm: MIT). ### Where can I find alternatives to selfhost-ai or anything-llm? GraphCanon lists graph-backed alternatives at [selfhost-ai alternatives](/tools/kossakovsky-selfhost-ai/alternatives) and [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) ([selfhost-ai markdown twin](/tools/kossakovsky-selfhost-ai/alternatives.md), [anything-llm markdown twin](/tools/mintplex-labs-anything-llm/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/kossakovsky-selfhost-ai-vs-mintplex-labs-anything-llm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, selfhost-ai or anything-llm? selfhost-ai: Very active. anything-llm: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for selfhost-ai and anything-llm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [selfhost-ai trust report](/tools/kossakovsky-selfhost-ai/trust); [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=kossakovsky-selfhost-ai`](/api/graphcanon/graph?tool=kossakovsky-selfhost-ai) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_